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预测股票价格的变化使用长期短期记忆神经网络与象征性遗传编程.

Qi Li1,2, Norshaliza Kamaruddin3,4, Siti Sophiayati Yuhaniz1,2

  • 1Razak Faculty of Technology and Informatics, UTM Malaysia, Kuala Lumpur, Malaysia.

Scientific reports
|January 3, 2024
PubMed
概括

这项研究引入了一种新的混合象征性遗传编程-长期短期记忆 (SGP-LSTM) 模型,用于在中国市场增强股票回报预测. 该SGP-LSTM模型显著提高了预测准确性,并产生了大量的超额回报.

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Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
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